Machine Learning for Protein Solubility Prediction.
Kodai SuzukiKazutoshi SakakibaraMasaki NakamuraSuguru ShinodaYasuhisa AsanoPublished in: ICMLC (2022)
Keyphrases
- machine learning
- protein secondary structure
- protein secondary structure prediction
- subcellular localization
- recursive neural networks
- contact map
- prediction accuracy
- protein structure prediction
- protein homology
- contact maps
- protein interaction
- machine learning methods
- drug design
- protein sequences
- protein tertiary structure
- learning algorithm
- machine learning algorithms
- information extraction
- text classification
- protein classification
- inductive logic programming
- protein function prediction
- text mining
- protein structure
- data mining
- decision trees
- artificial intelligence
- prediction algorithm
- amino acids
- predicting protein
- pattern recognition
- computational biology
- active learning
- phase transition
- prediction model
- protein folding
- statistical methods
- natural language processing
- learning tasks
- protein chains
- supervised learning
- physico chemical
- knowledge acquisition
- molecular dynamics
- biological data
- protein protein interactions
- feature ranking